There is no question: data and analytics have totally changed retail site selection. Today’s companies use software like SiteSeer Pro to determine where their best customers are located and analyze potential sites that would best attract those customers (and new ones). Choosing a location based on gut feel will no longer cut it. Site selection software has the power to tell retailers and other chain businesses what markets they should prioritize as they consider expansion, what locations will yield them the most success, where the competition is and much more.
Topics: Hotspot Analysis, Market Research, Retail Site Selection, Site Selection Software, Analyzing Retail Sites, Competitive Analysis, Customer Analysis, Client Service, SiteSeer Professional Services
In early 2020, the COVID-19 pandemic turned the world upside down. The normal routine of socializing, going to work, shopping and dining became social distancing, telecommuting and stay at home orders.
It’s been in the making for a while now, but we’re very excited to give you a sneak peek of what is coming with SiteSeer 3.0 in June 2020!
When you use a tool like SiteSeer, there are all kinds of different data types that can power the platform:
When you’re in the business of leasing space or developing shopping centers, there’s one issue that probably matters to you more than just about any other: how can you find the best tenants to fill your space?
Every day, we talk with retail companies, franchise organizations, and other businesses that want to select sites that give them the best potential for profitability and success. Here’s the stark truth: most companies have room for improvement when it comes to site selection. And as we all know, hindsight is 20/20. It’s very easy to think back and wish that you knew certain things about a site when you chose it. While you should be wary of any company that promises a methodology or tool that sounds a lot like a crystal ball, there are certain things you can do to choose better sites in the future and minimize costly mistakes.